The majority of online display ads are served through real-time bidding (RTB)---each ad
display impression is auctioned off in real-time when it is just being generated from a user …

Matching is a classic problem with a rich history and a significant impact, both on the theory
of algorithms and in practice. Recently there has been a surge of interest in the online …

In this paper we study bid optimisation for real-time bidding (RTB) based display advertising.
RTB allows advertisers to bid on a display ad impression in real time when it is being …

The most significant progress in recent years in online display advertising is what is known
as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates …

In targeted display advertising, the goal is to identify the best opportunities to display a
banner ad to an online user who is most likely to take a desired action such as purchasing a …

We introduce the online stochastic Convex Programming (CP) problem, a very general
version of stochastic online problems which allows arbitrary concave objectives and convex …

Privacy policies have disrupted the multi-billion dollar online advertising market by making
real-time and precise user data untraceable, which poses significant challenges to the …

Computational Advertising, popularly known as online advertising or Web advertising, refers
to finding the most relevant ads matching a particular context on the Web. The context …

Real-time bidding (RTB) is an emerging and promising business model for online
computational advertising in the age of big data. Based on analysis of massive amounts of …

Autobidding is becoming increasingly important in the domain of online advertising, and has
become a critical tool used by many advertisers for optimizing their ad campaigns. We …